Publication detail

GPON Traffic Analysis with TensorFlow

OUJEZSKÝ, V. TOMAŠOV, A. HOLÍK, M. ŠKORPIL, V. HORVÁTH, T. JURČÍK, M.

Original Title

GPON Traffic Analysis with TensorFlow

Type

conference paper

Language

English

Original Abstract

The paper presents the latest research results of gigabit passive optical network analysis using machine learning algorithms. TensorFlow has been used to learn the frames of GPON management traffic of the G.984.3 protocol and detect outliers to the standard. The frames are captured by FPGA programmable network card and processed with a software parser and further processed with the TensorFlow using JSON format. The proposed technique can bring a way how to test if vendors of network devices follow the standard and if the content of the frames can be treated as secure and trustworthy.

Keywords

analysis; detection; gpon; machine; learning; tensorflow;

Authors

OUJEZSKÝ, V.; TOMAŠOV, A.; HOLÍK, M.; ŠKORPIL, V.; HORVÁTH, T.; JURČÍK, M.

Released

7. 7. 2020

Publisher

IEEE

Location

Milan, Italy

ISBN

978-1-7281-6376-5

Book

2020 43rd International Conference on Telecommunications and Signal Processing (TSP)

Pages from

69

Pages to

72

Pages count

4

URL

https://ieeexplore.ieee.org/document/9163575

BibTex

@inproceedings{BUT165542,
  author="Václav {Oujezský} and Adrián {Tomašov} and Martin {Holík} and Vladislav {Škorpil} and Tomáš {Horváth} and Michal {Jurčík}",
  title="GPON Traffic Analysis with TensorFlow",
  booktitle="2020 43rd International Conference on Telecommunications and Signal Processing (TSP)",
  year="2020",
  pages="69--72",
  publisher="IEEE",
  address="Milan, Italy",
  doi="10.1109/TSP49548.2020.9163575",
  isbn="978-1-7281-6376-5",
  url="https://ieeexplore.ieee.org/document/9163575"
}